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As the high number of authors may influence the number of citations the publication receives (especially when the authors come from different countries), there is a risk that hyper authorship articles may distort the results of analyses. This should be taken into account when analysing results, at the very least. The distorting effects can be mitigated by fractionalising, which reduces the significance of publications in the overall context, and by using Top x% indicators, which are less sensitive to the influence of publications that have received very high numbers of citations. Indicators to normalise the number of background countries are also being developed for some analysis tools (InCites Collab-CNCI). If distorting effects are observed, one solution is to exclude articles by more than 100 authors from organisational and country-level analyses (Adams et al., 2019). However, this is not explicitly recommended, as these publications, too, belong to the subject under evaluation. The typical number of authors varies by the field of science, and in some fields hyper authorship articles are very common and are part of a normal publishing practice. If it is decided to exclude publications on the basis of the number of authors, this can be done by using the filters in the analysis tools (InCites and SciVal).
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